Dynamic and Incremental Update of Mined Association Rules Against Changes in Dataset
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4543-0_13
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4. Ezeife, C.I., Su, Y.: Mining incremental association rules with generalized FP-tree. In: Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 2338. Springer, Berlin, Heidelberg (2002)
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1. CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates;The Journal of Supercomputing;2022-12-08
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